Embedded Motion Control 2015 Group 11: Difference between revisions
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==Activity model== | ==Activity model== | ||
[[File:port-based interaction.jpg| | [[File:port-based interaction.jpg|400 px]] | ||
==Behavioural model== | ==Behavioural model== | ||
Revision as of 00:23, 13 May 2015
Group Members
| Name | Student nr | |
|---|---|---|
| Changjie Guan | 0927222 | c.guan@student.tue.nl |
| Yang Xu | 0918430 | y.xu.1@student.tue.nl |
| Bolin Zhao | 0925735 | b.zhao@student.tue.nl |
| Zhe Zhao | 0815651 | z.zhao@student.tue.nl |
| Fei Chen | 0923761 | f.chen@student.tue.nl |
| Yizhou Ye | 0925611 | y.ye@student.tue.nl |
| Yiran Liu | 0843177 | y.liu.1@student.tue.nl |
Introduction
Task and goal: Find way out of maze as fast as possible.
Requirement
The requirement analysis base on the problem statement and divide in different level of important as ‘must’,’should’,’could’ and ‘wont'
- the robot must can get out of the maze
- the robot must take action by itself
- the robot should get out of the maze as soon as possible
- the robot won’t hint the wall
Functions
Ensure all the requirements can be meeted.
- Move forward and backward, turn around
- Detect the doors
- Detec the distance between the front wall and the robot
- Remember the path and and the door, grid the path and store it with 0 or 1, representing the pass available or not respectively.
- Each step, select a direction where is available. If the current grid has not been recorded, record it and move on. If the current gird has been recorded as well as its surrounding grids, randomly choose a grid from recorded and move on. If all the maze has been searched, the robot must go out the maze.
Activity model
Behavioural model
Behavioural model:
- Environment context
- Task context
- Skill context
- Robot context
Structure model
Schedule
May. 13: Corridor competition.
June. 17: Maze competition.